Background: The WHO recommendation for parasitological diagnosis of malaria wherever possible is challenged by evidence of poor-quality microscopy in African hospitals but the reasons are not clear.
Methods: All 12 of the busier district hospital laboratories from three regions of Tanzania were assessed for quality of the working environment and slide readers read 10 reference slides under exam conditions. Slides that had been routinely read were removed for expert reading.
Results: Of 44 slide readers in the study, 39 (88.6%) correctly read >90% of the reference slides. Of 206 slides that had been routinely read, 33 (16%) were judged to be unreadable, 104 (51%) were readable with difficulty, and 69 (34%) were easily readable. Compared to expert reading of the same slide, the sensitivity of routine slide results of easily readable slides was 85.7% (95% confidence interval: 77.4-94.0), falling to 44.4% (95% confidence interval: 34.5-54.4) for slides that were 'readable with difficulty'.
Conclusions: The commonest cause of inaccurate results was the quality of the slide itself, correction of which is likely to be achievable within existing resources. A minority of slide readers were unable to read slides even under ideal conditions, suggesting the need for a 'slide reading licence' scheme.
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http://dx.doi.org/10.1179/2047773212Y.0000000052 | DOI Listing |
J Imaging Inform Med
January 2025
Department of Pathology, Sinopharm Tongmei General Hospital, Datong, 037003, Shanxi, China.
Whole slide imaging (WSI) has transformed diagnostic medicine, particularly in the field of cancer diagnosis and treatment. The use of deep learning algorithms for predicting WSIs has opened up new avenues for advanced medical diagnostics. Additionally, stain normalization can reduce the color and intensity variations present in WSI from different hospitals.
View Article and Find Full Text PDFLab Invest
November 2024
Department of Computer Engineering, Bogazici University, Istanbul, Turkey. Electronic address:
Hirschsprung disease, a congenital disease characterized by the absence of ganglion cells, presents significant surgical challenges. Addressing a critical gap in intraoperative diagnostics, we introduce transformative artificial intelligence approach that significantly enhances the detection of ganglion cells in frozen sections. The data set comprises 366 frozen and 302 formalin-fixed-paraffin-embedded hematoxylin and eosin-stained slides obtained from 164 patients from 3 centers.
View Article and Find Full Text PDFCancer Cytopathol
January 2025
Regional Laboratory of Cancer Prevention, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy.
Background: Whole-slide imaging (WSI) has been adopted in many fields of pathology for education, quality assurance, and remote diagnostics. In 2021, the College of American Pathologists (CAP) updated guidelines to support pathology laboratories regarding the WSI systems validation process. However, the majority of published literature refers to histopathology rather than cytology.
View Article and Find Full Text PDFPathol Oncol Res
November 2024
Department of Pathology, Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
JCO Precis Oncol
October 2024
Ibex Medical Analytics, Tel Aviv, Israel.
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